16 results about "Patient type" patented technology

The application discloses a kind of body cavity effusion pressure self-adaptive control drainage device, it is related to body cavity effusion technical field, including drainage tube, the top of drainage tube is fixedly connected with three-way joint;Liquid storage bag is connected to the export end of drainage tube;Pinch valve is set on drainage tube;Pressure sensor is set on three-way joint;Driving assembly is drivingly connected with pinch valve;Control box is electrically connected with pressure sensor and driving motor respectively, and control box is internally provided with microprocessor;And valve handle is set on pinch valve;By setting pressure sensor, control box, microprocessor and driving assembly, and control box is electrically connected with pressure sensor and driving motor respectively, while setting the setting panel electrically connected with microprocessor, so that medical staff can preset pressure safety range according to patient type, and pressure sensor monitors body cavity pressure in real time and feeds back to microprocessor.

The invention discloses a hospital sunlight illumination adjusting system and method based on patient work and rest rhythms, and relates to the technical field of light path control, and the method comprises the steps: obtaining patient type information and drug administration records through a hospital information system; meanwhile, acquiring a current indoor spectrum, an optical fiber distribution node state, external sunlight incident intensity and spectral characteristics and a state event trigger signal from an environment sensor network; feature preprocessing and coding are carried out on edge nodes, an SVM model is called to carry out light sensitivity prediction, and light sensitivity scores for current initial partition patients and scenes are generated; adjusting the initial partition through a self-adaptive partition strategy to obtain a light source control partition; and setting an optical fiber shunting algorithm according to the light sensitivity score to obtain an optical fiber shunting weight and path of each light source control partition. According to the invention, the problems that the hospital lighting system lacks room-level real-time adaptability and neglects the influence of the medication state of the patient and the light environment difference in the room are solved.

The invention relates to a nursing simulation method and system, electronic equipment and a computer program product. The method comprises the following steps: determining a to-be-simulated case, and obtaining initial physiological parameters, a disease type and a patient type indicated by the to-be-simulated case; the physiological simulation human body is driven by a physiological engine to conduct state initialization according to the initial physiological parameters; acquiring professional knowledge corresponding to the disease type from a professional knowledge base through a dialogue engine, and acquiring personality description data corresponding to the patient type from a role knowledge base; when the voice data are collected, current physiological parameters are obtained from the physiological engine through the dialogue engine, and the current physiological parameters are matched with the current state of the physiological simulation human body; and calling a large language model to generate a reply text for the voice data based on professional knowledge, personality description data, voice data and current physiological parameters through a dialogue engine, and controlling a loudspeaker to perform voice playing according to the reply text. By adopting the method, the nursing simulation effect can be improved.

This invention discloses a hybrid model-driven nutritional risk prediction method and system for precision nutritional intervention. The method constructs a large-scale patient typing model containing multiple typical patient types and their associated assessment parameter packages, integrating a standardized first screening model with a personalized second screening model. In application, the first screening model is first used to standardize and initially screen patient data. Then, the large-scale patient typing model extracts patient feature inputs based on the patient data and initial screening results for typing and obtains the corresponding assessment parameter packages. The second screening model is then personalized based on these parameter packages, supplemented with key data, and combined with personalized thresholds to calculate the final risk level and generate a comprehensive assessment report. This invention achieves dynamic individualized adaptation of assessment strategies, improves the accuracy and clinical interpretability of risk identification, and optimizes workflow and resource allocation.

This application discloses an intelligent queuing method based on patient type, comprising the following steps: obtaining the attribute information of each patient in the current queue and calculating the static basic priority of each patient; calculating the dynamic hunger value of each patient based on the waiting time of each patient in the current queue; weighting the dynamic hunger value and the static basic priority of each patient to obtain the real-time priority of each patient; when a new patient needs to be enqueued, calculating the real-time priority of the new patient and determining the insertion position of the new patient in the current queue through an incremental local rearrangement algorithm based on the influence range. The beneficial effects of this application are: through the hunger value function, any patient with an excessively long waiting time can receive priority compensation, ensuring from the algorithm's principle that low-priority patients will not wait indefinitely, which aligns with human psychological expectations and reduces dissatisfaction caused by "being constantly cut in line"; the algorithm's parameters are adjustable and can adapt to various scenarios.

The invention relates to the technical field of lower limb rehabilitation training, in particular to an intelligent rehabilitation training method and system for lower limb exoskeletons. Comprising the steps of obtaining basic data of a first-level user, and generating a first-level rehabilitation strategy according to the basic data and a preset training optimization model; acquiring monitoring data of a first-level user, generating a feedback data packet, and generating a training deviation value according to the feedback data packet; judging whether a correction instruction is generated or not according to the training deviation value; by analyzing historical data, setting multiple training scenes based on different patient types and disease types, constructing quantitative standards of multiple training strategies, and dynamically adjusting an initial training plan in combination with doctor suggestions, accurate matching of individual rehabilitation requirements of patients and ability levels of different rehabilitation stages is realized, and the rehabilitation training efficiency is improved. The rehabilitation training efficiency is improved.

1. The name of the design product: oral report tooth model color selection graphical user interface for electronic device. 2. The use of the design product: for electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the present graphical user interface is used for users to color the tooth model of the patient according to the oral scanning situation, for example. 7. The human-computer interaction mode of the graphical user interface: the user can interact with the graphical user interface by touching, clicking, sliding or scrolling; design 1 front view displays the tooth model, the user colors one or more teeth in the tooth model according to the oral scanning situation of the patient, for example, can switch the patient type by selecting the drop-down box at the left end of the title bar at the top, can generate a color preview report by clicking the button with the report icon at the right side of the title bar at the top; design 2 front view displays the tooth model, the user colors one or more teeth in the tooth model according to the oral scanning situation of the patient, for example, can switch the patient type by selecting the drop-down box at the left end of the title bar at the top, can generate a color preview report by clicking the button with the report icon at the right side of the title bar at the top; design 3 front view displays the tooth model, the user colors one or more teeth in the tooth model according to the oral scanning situation of the patient, for example, can switch the patient type by selecting the drop-down box at the left end of the title bar at the top, can generate a color preview report by clicking the button with the report icon at the right side of the title bar at the top; design 4 front view displays the tooth model, the user can switch the patient type by selecting the drop-down box at the left end of the title bar at the top, can generate a color preview report by clicking the button with the report icon at the right side of the title bar at the top, the user selects a tooth in the tooth model and colors it according to the oral scanning situation of the patient, for example, from the color palette below, the interface switches to design 4 change state figure 1, then the user selects another tooth from the tooth model and colors it from the color palette below, the interface switches to design 4 change state figure 2, wherein the colored teeth and color numbers are only illustrative; design 5 front view displays the tooth model, the user can switch the patient type by selecting the drop-down box at the left end of the title bar at the top, can generate a color preview report by clicking the button with the report icon at the right side of the title bar at the top, the user selects the one-key color of the tooth model by clicking the AI button at the right side of the title bar at the top, the interface switches to design 5 change state figure, wherein the colored teeth and color numbers are only illustrative. 8. Other conditions requiring explanation Other explanation: "X" in the various views of the present application represents variable letters and / or numbers and / or letters and / or symbols.

The invention relates to a diabetes adjuvant therapy cloud platform system based on an artificial intelligence model, and relates to the technical field of health-related information systems and cloud platforms, and the diabetes adjuvant therapy cloud platform system comprises a correlation analysis module which is used for determining a plurality of patient classification factors based on medical records of a plurality of historical diabetic patients, determining a plurality of diabetic patient types and the complication risk of each diabetic patient type; the feature extraction module is used for determining the type of the diabetic patient of the current patient according to the medical record of the current patient and the plurality of patient classification factors, and extracting complication risk features from the medical record of the current patient; the auxiliary treatment module is used for determining similar historical diabetic patients according to the complication risk characteristics of the current patient and determining an auxiliary treatment scheme of the current patient based on the auxiliary treatment scheme of the similar historical diabetic patients and the complication risk characteristics of the current patient, and the diabetes diagnosis and treatment efficiency and the treatment effect are improved.

1. Name of this design product: Graphical user interface for ventilator data management of electronic equipment. 2. Purpose of this design product: used for interaction with ventilators. 3. The key design point of this design product lies in the content of the graphical user interface on the screen. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Due to the customary design, the rear view is omitted; due to the customary design, the left view is omitted; due to the customary design, the right view is omitted; due to the customary design, the top view is omitted; due to the customary design, the bottom view is omitted. 6. Purpose of the graphical user interface: This graphical user interface is used for ventilator data management. The main view is the main display interface of the ventilator; the top area is the status bar, and the main information includes compensation icon display, patient information icon display, lock screen icon display, nebulizer icon display, oxygen inhalation icon display, alarm display bar, mute icon display, WiFi icon display, USB icon display, battery icon display and time display; the middle area has monitoring parameters and waveform display; the top is the main interface selection button; the right side is the function soft key; the lower area is the parameter adjustment setting area; click the machine standby button to enter the interface change status diagram 1; this interface is the standby interface, which is the first interface after power on. After pressing Start ventilation, the device will enter the main interface. In the current interface, you can set the patient type, patient information, ventilation mode, and you can also enter the system self-test, pipeline test and HFNC interface; click "HFNC" on the standby interface to enter the interface change status diagram 2, which is the oxygen therapy interface.

The invention relates to a sickbed management method and system. The method comprises the following steps: acquiring and preprocessing multi-modal patient data and structured bed data; determining a patient type based on the multi-modal patient data, performing feature fusion on the multi-modal patient data, and determining a patient priority in combination with the patient type; based on the patient priority and the structured bed data, a genetic algorithm is adopted to manage and distribute sickbed positions, and a fitness function of the genetic algorithm is set as a weighted sum of a patient waiting time coefficient, a distribution coefficient determined based on the patient priority and a bed matching degree. Compared with the prior art, the method has the advantages of accurate bed allocation, high management efficiency and the like.

The invention relates to the technical field of medical instruments, and discloses a respiratory system air leakage detection method for mechanical ventilation, which comprises the following steps: acquiring airway pressure, tidal volume and flow velocity waveforms in real time, performing multi-parameter fusion analysis, combining with an air leakage characteristic model constructed by machine learning to judge waveform abnormity, and dynamically adjusting a model judgment threshold according to the type of a patient; when the waveform is abnormal, three-stage progressive troubleshooting is started, the sealing performance of nine preset connecting points of a breathing machine pipeline is checked firstly, then the pressure of an air bag is monitored and adjusted to 30-50 cm H2O, dynamic minimum closing pressure monitoring is conducted, and finally the airway matching performance is evaluated; the method further comprises the steps of equipment fault verification and imaging examination prompt generation during suspected pneumothorax. The method improves the detection sensitivity and specificity, shortens the detection time, adapts to different patients, and reduces the risk of mechanical ventilation complications.

The application relates to the technical field of medical teaching, in particular to a virtual standardized patient teaching model generation method and system. The method comprises the following steps: acquiring case data for model training; analyzing the case data to determine patient inquiry conditions and patient types; calling inquiry site monitoring; based on the patient types, analyzing the inquiry site monitoring to determine the patient inquiry state of the same patient type; based on the patient types, analyzing the patient inquiry conditions to determine the patient interaction level; determining model training parameters according to the patient inquiry conditions, the patient inquiry state and the patient interaction level, and generating a virtual standardized patient teaching model according to the model training parameters. The virtual standardized patient teaching model improves the authenticity in the visual and auditory dimensions. The virtual standardized patient teaching model can accurately reflect the interaction dynamics in real inquiry. The creation of a high-fidelity teaching tool is realized, and inquiry training in a simulated environment is ensured.

This utility model discloses a patient information collection device for smart healthcare, belonging to the field of smart healthcare. It includes a base, a collection platform, and a baffle. The base is located at the bottom of the collection platform and the baffle. A viewing window is embedded in the baffle. Two holes are formed at the top of the base. Two driving components and a power mechanism are installed inside the base. The two driving components are located at the two holes, and the power mechanism is connected to the two driving components. The power mechanism provides power to the driving components, which in turn drive the patient's wheelchair. This smart healthcare patient information collection device, through the cooperation of the power mechanism and the driving components, achieves automatic driving for wheelchair users, eliminating the need for manual pushing and improving convenience and safety. The support component can extend and retract according to the patient type, providing sitting support for able-bodied patients while avoiding obstruction of wheelchair users' passage, thus improving the device's adaptability.

The invention relates to the technical field of medical teaching, in particular to a virtual standardized patient teaching model generation method and system. The method comprises the following steps: acquiring case data for model training; analyzing case data, and determining patient inquiry conditions and patient types; calling inquiry field monitoring; on the basis of the patient types, analyzing interrogation field monitoring, and determining patient interrogation states of the same patient type; based on the patient type, analyzing the patient inquiry condition, and determining the patient interaction level; and determining model training parameters according to the patient inquiry condition, the patient inquiry state and the patient interaction level, and generating a virtual standardized patient teaching model according to the model training parameters. And the authenticity of the virtual standardized patient teaching model in visual and auditory dimensions is improved. And it is ensured that the virtual standardized patient teaching model accurately reflects interaction dynamic in real inquiry. The creation of a high-fidelity teaching tool is realized, and inquiry training in a simulation environment is ensured.

The invention relates to an emergency treatment management method, device and equipment and a computer readable storage medium. The method is applied to the technical field of medical treatment, and comprises the step of establishing a rapid identity confirmation mechanism by verifying the identity of a patient. This step ensures accurate acquisition of patient information. And secondly, disease condition grading judgment is carried out on the patients according to the preset diagnosis and treatment grading standard, and the types of the patients are determined based on the judgment result, so that the critical patients can be quickly identified and preferentially processed through the characteristic, the treatment timeliness is guaranteed, and the risk of disease condition delay is effectively avoided. In addition, the corresponding emergency treatment process is executed according to the type of the patient, so that medical resources are reasonably configured. The rescue efficiency of critical patients is ensured, the doctor-seeing experience of common emergency patients is optimized, and the orderliness of the whole diagnosis and treatment process is improved. And finally, carrying out expense settlement under the condition that the emergency treatment of the patient is finished, and integrating multiple dispersed payment links into a unified settlement process.

The invention relates to the technical field of reservation management methods and systems for projects, and discloses a reservation management method and system for projects, and the method specifically comprises the following steps: firstly, receiving a reservation request, secondly, obtaining application form information and application form project detail information, completing the checking of the validity of reservation time, and then completing the processing preparation of a reservation form. The method comprises the following steps: firstly, calculating a resource demand quantity, then setting a resource public sign according to a patient type, and completing resource rule verification and selection, then completing resource grouping and screening, then completing resource allocation, and completing resource rollback and finally completing reservation information updating when a reservation is modified and adjusted. According to the method, all links of the reservation are delicately processed, a complete and strict business process is formed from request receiving, time validity checking, resource calculation to allocation, and through a resource rollback mechanism, when a user adjusts the reservation, original resources are released firstly, and then new reservation information is created.